Digital Commons Network^™

Advancing Multi-Modal Learning, Swetha Sirnam

Graduate Studies Theses and Dissertations 2026

Multimodal learning aims to develop systems that understand and reason across multiple sources of information such as images, videos, audio, and text. These capabilities are central to applications including visual search, digital assistants, robotics, and visual question answering. Despite recent progress in multimodal large language models, current approaches struggle to capture the structured complexity of real-world visual data. Fine-grained visual details are often lost during multimodal alignment, models frequently fail to capture nuanced human intent, and existing methods remain limited in understanding long-form videos with complex temporal dynamics. Furthermore, many evaluation benchmarks rely heavily on explicit visual cues, which can …

Thermomechanical Modeling Of Transpiration Surfaces For Hypersonic Propulsion, Spencer D. Smith

Graduate Studies Theses and Dissertations 2026

Hypersonic flight vehicles are a promising form of high speed passenger transport and efficient space access architectures. However, they are fundamentally a thermally limited technology. High heat fluxes exceeding 10 MW/m2 and gas temperatures between 3000-4000K can be found both within the engine, and on the outer surface. Current conventional engineering materials are non-viable at these conditions. In order to make these materials viable, active cooling strategies could be utilized. One particularly promising type is transpiration cooling, where a coolant is diffused through a porous surface. Although researched heavily in the 1960s, adoption is still minimal. Part of the reason …

Examining Relationships Between Pre-Arrival Information, Perceived Preparedness, And Distressing Call Outcomes Among Firefighters, Victoria L. Steigerwald

Graduate Studies Theses and Dissertations 2026

Responding to distressing emergency calls increases firefighters’ risk for negative mental health outcomes, including posttraumatic stress disorder, warranting investigation into factors that can be targeted to reduce their risk for call-related distress. The present study examined whether the completeness of pre-arrival information about a distressing call reduced firefighters’ peri- and post-call distress via their perceived preparedness for the call and whether general self-efficacy moderated the relationship between pre-arrival information completeness and perceived preparedness. Data were analyzed from 173 active firefighters in the United States (89.0% male, mean age=37.98 years) who completed an online survey asking them to report on levels …

Experimental Characterization Of Obstacle-Driven Ddt And The Performance Of Relief Dump Tanks In Detonation Systems, Bryan Suarez

Graduate Studies Theses and Dissertations 2026

This study investigates the lifecycle of a detonation event in a modular detonation
tube facility. It focuses on the mechanisms of deflagration-to-detonation transition
(DDT) and the effectiveness of a pressure relief system. With a stoichiometric
hydrogen-oxygen mixture, the research aims to characterize the effect of
interchangeable turbulator obstacles on the DDT process. By varying blockage
ratios and obstacle geometries in the pre-detonation section. This study identifies
how physical characteristics influence transition efficiency. The experimental data
collected includes pressure spikes and wave speed which were then used to
validate against the Chapman-Jouguet (CJ) theory at initial pressures of 350 Torr
and …

Federated Learning In The Era Of Foundation Models, Guangyu Sun

Graduate Studies Theses and Dissertations 2026

The emergence of large-scale foundation models has reshaped computer vision and multi-modal learning, but their substantial computational and communication demands pose significant challenges for deployment in federated learning (FL) systems. Federated learning enables collaborative model training across decentralized clients without sharing raw data, offering strong privacy guarantees. However, adapting foundation models in FL remains difficult due to communication bottlenecks, heterogeneous data distributions, limited device resources, and scarce labeled data. This dissertation presents a unified line of research that addresses these challenges through four complementary frameworks, progressively advancing the efficiency, personalization, and practicality of foundation model adaptation in federated settings.

First, …

Building Eden Where We Can, Ireland Thomas

Graduate Studies Theses and Dissertations 2026

Building Eden Where We Can is a nonfiction memoir told in vignettes that come together to build a wider story. Through these vignettes, we are shown a narrator who is simultaneously surviving an abusive family, navigating a rare diagnosis, and coming to terms with their queerness. By braiding narratives and maintaining these various threads, this collection examines the intersections of sickness and religion, tradition and freedom, as well as fear and love. The lattermost dichotomy is represented in the narrator’s ultimate choice to leave behind a life of fear in the mother figure’s safe cage. In exchange, they receive a …

Abig4l: A Semantic Reasoning Engine For Verilog Via Abstract Interpretation, Alicia Thoney

Graduate Studies Theses and Dissertations 2026

Modern Electronic Design Automation (EDA) flows treat structural and semantic reasoning as separate concerns. Synthesis structurally optimizes RTL, while dedicated verification teams validate functional behavior through testbenches and formal methods. This organizational divide means designers have no automatic, sound way to understand what their RTL does at the moment they are writing it. This thesis introduces AbIG4L (Abstract Interpretation of Generic 4-valued Logic), a static analysis framework that bridges this gap by delivering sound semantic reasoning automatically, directly within the hardware design loop.

The framework operates on a language-agnostic intermediate representation to compute sound over-approximations of hardware behavior across 0, …

The Reliability, Validity, And Sensitivity Of Physical Working Capacity At The Pain Intensity Threshold, Danielle A. Sterner

Graduate Studies Theses and Dissertations 2026

The purpose of this dissertation was to evaluate the reliability, validity, and responsiveness to training intervention of a pain-anchored capacity threshold, the Physical Working Capacity at the Pain Intensity Threshold (PWC_PIT), as a practical submaximal marker of endurance-related exercise tolerance. Study one examined the test-retest reliability of pain-based, perceptual, and physiological physical working capacity measures in recreationally active men using a standardized multi-bout cycling protocol, with pain intensity responses demonstrating strong reproducibility and low measurement error, supporting the stability of pain-anchored thresholds when standardized procedures are applied. Study two evaluated the validity of PWC_PIT by examining pain …

Chirpi - Implementing And Analyzing The Chirp Communication Algorithm On Esp32 Hardware, Calvin Vanwormer

Graduate Studies Theses and Dissertations 2026

This work presents the implementation and experimental evaluation of the CHIRP communication algorithm on resource-constrained ESP32-S3 microcontrollers, bridging the gap between simulation-based validation and real-world deployment. CHIRP is a lightweight, fully decentralized peer-to-peer protocol designed for IoT networks with dynamic node membership, enabling runtime node join and leave operations without centralized coordination or global reconfiguration. The implementation comprises two main components: C-based node firmware running on FreeRTOS [1, 2], which implements the full CHIRP protocol including peer discovery, round-robin pairing, and firefly-inspired phase synchronization, and a Python-based experiment controller that orchestrates network experiments and collects per-node metrics without influencing protocol …

High Intensity Ablation By Laser Filaments At Standoff Distances, Owen Thome

Graduate Studies Theses and Dissertations 2026

The high-power densities delivered to a target material by a laser allow for melting and vaporization to occur, a process called laser ablation. At higher intensities, plasma formation occurs and more complex material removal mechanisms take place. As laser power increases, nonlinear effects occur during propagation. One such effect, Kerr self-focusing, leads to beam collapse and ionization, resulting in a channel of plasma and region of high intensity light referred to as a laser filament. Filaments carry intensities on the order of 10¹³ W/cm² to significant distances without the use of large-scale focusing optics. Laser filament ablation is …

Watch Your Step, Mind The Crowd: Socially Compliant Navigation In Unstructured Environments, Jack Vice

Graduate Studies Theses and Dissertations 2026

Autonomous mobile robots increasingly operate in complex real-world environments characterized by uneven terrain, dynamic obstacles, and human presence. This dissertation addresses the fundamental challenge of developing adaptive navigation strategies that enable robots to safely and effectively traverse unstructured outdoor environments including construction sites, agricultural fields, and disaster areas while maintaining social compliance around people. We advance this capability through five complementary contributions that collectively target dynamic, unstructured, human-occupied environments. First, we demonstrate evolutionary optimization of legged mobility for uneven terrain. Second, we propose using a spatiotemporal autoencoder to learn the temporal dynamics of moving people and objects. Third, we introduce …

Invisible Stress, Visible Patterns: How The Superwoman Schema Shapes Diet And Feeding Practices In Black Mothers And Their Youth During The Summer Versus School Months, Jillian Weathington

Graduate Studies Theses and Dissertations 2026

Background: Black mothers are frequently socialized into the Superwoman Schema (SWS), a coping pattern characterized by self-sacrifice and suppression of personal needs. Alongside significant caregiving demands, SWS may limit healthy eating opportunities, yet its relationship with diet quality (DQ) remains understudied. SWS may also intensify during unstructured summer periods. This study examined associations between SWS, perceived stress, and DQ among Black mothers and their youth during summer (T1) and school months (T2).

Methods: This observational within-subjects study included Black mothers (T1: n=51; T2: n=32; mean age 39.6±6.1) and their youth (mean age 10.6±0.3). Assessments occurred at two timepoints six weeks …

A Sensor Fusion And Optimization Framework For High-Resolution Power Outage Detection And Energy Asset Allocation, Elizabeth Trader

Graduate Studies Theses and Dissertations 2026

Existing power outage datasets lack the spatial and temporal resolution required for neighborhood- level risk assessment, and conventional energy system design optimizes for cost without accounting for community-level demand - resulting in inefficient and inequitable asset de- ployment. This dissertation presents IONCORTEX, a framework integrating three technical contributions: a heterogeneous sensor fusion pipeline combining social media signals with municipal infrastructure records for intersection-level outage detection at six-hour tempo- ral resolution, maintaining detection capability during telecommunications disruptions; a techno-economic analysis pipeline evaluating photovoltaic, battery storage, hydrogen, and diesel portfolios using NREL’s System Advisor Model with Monte Carlo uncertainty quan- tification; and …

Oblique Detonation Waves In Internal Axisymmetric Converging Flow, Zachary P. White

Graduate Studies Theses and Dissertations 2026

Detonative combustion offers significant thermodynamic advantages for high‑speed propulsion, motivating the development of detonation‑based combustors for hypersonic flight. Among these, oblique detonation wave (ODW) engines require extremely high combustor velocities to achieve steady wave stabilization. While most prior experimental and numerical studies have focused on planar two‑dimensional geometries, axisymmetric combustors offer practical benefits for hypersonic vehicle integration and may influence achievable pressure gain. However, the effects of inward‑turning axisymmetric compression on ODW formation and performance remain largely unexplored. This work presents an experimentally stabilized ODW formed on an internal axisymmetric converging ramp. Experiments were conducted in a high‑enthalpy blowdown wind …

Using Inferences From Natural Language Narratives To Improve Video Question Answering, Hoang Bao Truong

Graduate Studies Theses and Dissertations 2026

The purpose of this thesis is to examine how structured narrative representation and reasoning strategies jointly affect the performance of Video Question Answering (VideoQA). Although recent advances in large multimodal and language models have improved video description and retrieval, causal and counterfactual reasoning remain challenging. This thesis studies an inference-only pipeline in which videos are converted into natural-language narratives, and those narratives may optionally be transformed into a structured NarrativeML format before multiple-choice questions are answered without task-specific fine-tuning. NarrativeML is a machine-readable narrative representation that explicitly encodes entities, events, and their causal and temporal relations. Three representational contexts are …

Perceptions Of High School Students’ Sports Participation And Potential Impact On Post-Secondary Involvement, Anthony J. Wishart

Graduate Studies Theses and Dissertations 2026

This dissertation examined the shifting culture of youth sports in the United States and its impact on academic motivation among adolescent student athletes. The study utilized Self-Determination Theory (SDT) as a framework. Traditionally, youth sports have helped students with personal growth and academic success. However, the contemporary emphasis on early sport specialization and the decline of opportunities in nonrevenue male sports are part of broader cultural shifts and require deeper exploration.

This study investigated the relationship between sport specialization among high school male junior and senior student athletes and their levels of academic motivation, as well as the consequences of …

Dynamics Of Household Food Insecurity Vulnerability: Examining Health, Functional Limitations, And Income Stability, Renita Washburn

Graduate Studies Theses and Dissertations 2026

Household food insecurity is a multidimensional issue affecting millions of households in the United States. While research has established that low income and poor health or functional limitations can increase the risk of food insecurity, current approaches do not fully capture these dynamic processes to identify long-term vulnerability. Specifically, income-based measures rely on static thresholds that miss instability, potentially underestimating risk. Gaps also remain in understanding persistent food insecurity, including how functional limitations (difficulties with activities like bathing, shopping, or managing finances) are associated with insecurity over time. These functional limitations can impact both economic factors (such as the ability …

The Effects Of Episodic Facilitation And Immersion On Memory Formation During Learning Of An Exterior Preflight Inspection Procedure, Nathan A. Sonnenfeld

Graduate Studies Theses and Dissertations 2026

This research examined the use of episodic facilitation—instructional elements aligned with episodic memory (EM) processes—to affect learners’ memory of simulation training for an aviation procedure. Despite its assumed benefits in industry and theory, virtual reality (VR) has shown limited advantages over conventional media for training procedures, in part because prevailing frameworks emphasize semantic and procedural outcomes, leaving memory of training experiences as events underexamined. To address this gap, this work advances human factors research by examining EM as a design consideration, an outcome, and an explanatory mechanism for how simulation training experiences are remembered. Grounded in theories of EM and …

Sonic Costumes For Immersive Theme Park Storytelling: Developing Interactive Wearables To Enhance Performer, Audience, And Environment Interaction, Rachel Yee

Graduate Studies Theses and Dissertations 2026

Costumes enhance the themed experience through visual storytelling while also allowing performers to interact fluidly with a physical space. These garments are typically passive storytellers in theme parks, even if the performers interact directly with guests. Some garments coordinate with and react to elements of the themed environment, predominantly when worn by performers within live shows, parades, or streetmosphere settings. However, this interactivity is often available only at a distance from guests, causing a separation between audience and performer. For instance, lights on parade costumes, such as those throughout Disney’s Magic Kingdom Park, often synchronize only with parade floats and …

Infrared Systems And Their Application On Target Detection And Geolocation, Li Zhang

Graduate Studies Theses and Dissertations 2026

The infrared spectrum contains various sub-bands (from near infrared (NIR) to long-wave infrared (LWIR), which are specialized at different detection tasks. Objects that are well camouflaged to human vision can be highly noticeable in NIR imagery. For vision navigation, the varying illumination condition and the cluttered urban background poses challenges in the visible band but can easily be resolved by using a thermal imager operating in LWIR. Despite this potential, practical deployment remains limited by the lack of suitable platforms, task-specific datasets, and long-duration field validation. This dissertation addresses these gaps through the design and evaluation of two infrared sensing …

Ecological And Evolutionary Responses To Environmental Change In Two Large North American Mammals, George Zaragoza

Graduate Studies Theses and Dissertations 2026

Climate change and urbanization are resulting in rapid shifts in ecosystems. The effects of these changes are complex, and understanding how species respond is critical for predicting their impacts on genetic diversity and evolution, as well as changes in habitat suitability. Species can respond to these changes in two major ways: through behavioral or genetic adaptation, or by moving to more suitable habitat as conditions change. Adaptive genetic change, in particular, can support behavioral and physiological responses that enable species to persist in novel or changing environments, and understanding these changes can help predict how species will respond to anthropogenic …

Voltage Stability Enhancement Of Large Load Interconnections Using Syncronous Condensers, Muhammad Ibrahim Abbas

Graduate Studies Theses and Dissertations 2026

The rapid integration of hyperscale data centers as large, concentrated loads presents a growing voltage stability challenge in grids weakened by synchronous generator retirement and increasing inverter-based resource penetration. This work proposes a Jacobian-based sensitivity framework for systematically identifying voltage-critical buses and optimally siting synchronous condensers as voltage support resources. A voltage-weighted sensitivity index, extracted from the full Jacobian inverse, is introduced to combine network-wide reactive coupling strength with observed voltage drops into a single deployable placement criterion. Validation on IEEE 14-bus and 30-bus test systems under multiple loading scenarios demonstrates that the proposed criterion consistently identifies the correct placement …

Bowtie Antenna-Coupled Bi₂Te₃–Sb₂Te₃ Thermoelectric Detector For Millimeter-Wave Radiation, Rumana Zahir

Graduate Studies Theses and Dissertations 2026

We explore the development of antenna-coupled thermoelectric detectors for long-wavelength radiation using sputtered bismuth telluride (Bi₂Te₃) and antimony telluride (Sb₂Te₃) thin films. Detection in the infrared, millimeter-wave, and terahertz regimes is critical for sensing, imaging, and energy applications; however, many existing detectors rely on cryogenic operation, exhibit narrow spectral response, or require complex material systems. In this work, we investigate the feasibility of reliable, room-temperature long-wavelength detection using microfabricated thermoelectric thin films integrated with antenna structures. A systematic full-factorial experimental approach was employed to determine how sputtering parameters and post-deposition annealing influence …

Photothermal Excitation And Optical Interferometric Readout Of Mos2 Nanomechanical Resonators, Sadia Afrin

Graduate Studies Theses and Dissertations 2026

Two-dimensional (2D) materials have emerged as promising candidates for nanoelectromechanical systems (NEMS) due to their exceptional mechanical, optical, and electrical properties. Among these materials, molybdenum disulfide (MoS2) has attracted considerable interest for nanomechanical resonator applications because of its low mass density, high mechanical strength, and semiconducting nature. This thesis presents the fabrication, theoretical modeling, and experimental characterization of suspended MoS2 drumhead resonators. The devices were fabricated by mechanically exfoliating MoS2 flakes from bulk MoS2 crystals and transferring selected flakes onto pre-patterned substrates using a dry-transfer process. Mechanical resonance was excited through photothermal actuation using a modulated blue laser, while device …

Charge Transport Modeling Of Multifunctional Molecular Transistors, Romena Akter

Graduate Studies Theses and Dissertations 2026

Distinguishing between the current–voltage characteristic curves associated with different transport mechanisms in a molecular electronic device and an artifact arising from device-level disorder is a central challenge in the study of molecular electronics. Characterizing these mechanisms and connecting them qualitatively to molecular-level orbital alignment, electrode coupling, voltage division, energetic disorder, and reorganization energy requires not only experimental data but also a rigorous theoretical framework for extracting physically meaningful parameters from measured transfer characteristics. This dissertation addresses this challenge in Chapters 2, 3, and 4 by developing and applying four complementary transport models —Simmons tunneling, single-level Landauer, Marcus hopping, and McConnell …

Learning Weibull Loss Severity Models From Truncated And Censored Data, Majed Alkhasha

Graduate Studies Theses and Dissertations 2026

In modern actuarial science and risk management, due to various loss control mechanisms, observed severity losses are typically left-truncated at the deductible, right-censored at the policy limit, and scaled by a pre-specified co-insurance factor. This results in two types of actuarial payment random variables: payment-per-payment (PPP) and payment-per-loss (PPL). To learn ground-up Weibull loss severity models from PPP and PPL sample data, we implement two estimation techniques: Maximum Likelihood Estimation (MLE) and the dynamic Method of Trimmed Moments (MTM). MLE is employed to obtain efficient estimates of the Weibull shape and scale parameters. However, MLE may assign unnecessarily large point …

Robust Deep Learning One-Class Classification, Shahd Alnofaie

Graduate Studies Theses and Dissertations 2026

One-Class Classification (OCC) focuses on learning the characteristics of normal data and identifying observations that deviate from this learned pattern as anomalies. It is commonly used in applications such as medical diagnosis, cybersecurity, industrial monitoring, and fraud detection, where abnormal examples are often rare or unavailable during training. Classical approaches such as SVDD and LS-SVDD describe normal data using a hypersphere. While effective in some settings, these methods rely on shallow representations and can be sensitive to noise and contaminated observations. To address these limitations, this dissertation introduces a Deep LS-SVDD framework that combines hypersphere-based data description with deep neural …

Effects Of Back-Pressure On Pseudo-Shock Systems, Emil C. Alunno

Graduate Studies Theses and Dissertations 2026

The isolator of a scramjet engine houses a pseudo-shock, a compressive flow structure that raises the static pressure and decelerates the incoming supersonic flow for efficient combustion while shielding the inlet from the elevated pressure downstream. Under sufficient back pressure the leading shock bifurcates and forms a shock train followed by a shockless mixing region, and the resulting system oscillates even under nominally steady conditions; this unsteadiness distorts the flow, can drive the pseudo-shock out of the isolator and unstart the inlet. This thesis experimentally examines how a pseudo-shock in a constant-area isolator at a measured entrance Mach number of …

Making Unsafe Sequences Unexecutable: Formal Protocol Enforcement For Cyber-Physical Systems, Arthur Amorim

Graduate Studies Theses and Dissertations 2026

Cyber-physical systems execute physical actions in response to software commands, making their communication protocols a primary attack surface. A stealthy attack is a sequence of individually valid messages that violates a required ordering, driving the system into an unsafe state without malware or protocol violation. Existing defenses examine messages or physical state in isolation, not protocol level sequences, and cannot prevent them. Preventing them requires enforcement that makes unsafe sequences unexecutable at the communication boundary.

Formal methods offer a principled path to enforcement, but no tool spans specification to safe deployed hardware. Model checking automates proofs but has no certified …

Did They Think I Was Rude? The Emotional And Relational Consequences Of (In)Congruence Between Perpetrators’ Self- And Meta-Perceptions Of Workplace Rudeness, Nicholas C. Andriese

Graduate Studies Theses and Dissertations 2026

Workplace rudeness negatively impacts employees and costs organizations millions of dollars each year. Although much is known about the consequences of workplace rudeness, little is known about how perpetrators make sense of and respond to their (potentially) rude behavior. In this dissertation, I propose that perpetrators consider not only their self-perceptions of rudeness, or how rude they believe their actions were, but also their meta-perceptions of rudeness, or their beliefs about how rude another person perceived them to be. Because rudeness is subjective and people vary in their perceptual accuracy, self- and meta-perceptions of rudeness are unlikely to consistently …